qBraid, a leading cloud-based platform powering seamless quantum software and hardware integrations, is thrilled to announce its newest offering of zero-setup NVIDIA CUDA Quantum platform with NVIDIA GPUs. This integration is set to democratize access to advanced quantum simulations, offering unparalleled ease of access and the ability to leverage NVIDIA GPUs for accelerated quantum computing simulations.
As an early adopter of the NVIDIA GH200 Grace Hopper Superchip systems, qBraid provides unparalleled access to today’s most advanced computing technologies. Quantum novices and researchers alike can now leverage pay-as-you-go access to the maximum power of GPU-accelerated quantum computing with qBraid at competitive prices.
Easiest Access to CUDA Quantum + GPUs in qBraid Lab
With CUDA Quantum and NVIDIA GPUs, researchers, students, and developers alike can now effortlessly run simulations on GPUs with access to quantum hardware and software within a single runtime environment on qBraid. This streamlines workflows, reducing the complexity of setup and accessing quantum computing resources, making it easier for anyone to explore and innovate in the quantum space.
Discover the acceleration capabilities of CUDA Quantum firsthand! Explore our demo notebooks included in qBraid Lab GPU environments today. Users can run the demo notebooks on NVIDIA GPU backends — such as V100 Tensor Core, A100 Tensor Core, and H100 Tensor Core GPUs, as well as GH200 Grace Hopper Superchips — by purchasing qBraid credits. qBraid stands out as an elite quantum cloud provider, offering unparalleled global access to GH200 Superchips, which very few provide currently. This exclusive capability underscores qBraid’s commitment to delivering cutting-edge technology and exceptional service to users around the globe.
The integration of CUDA Quantum into qBraid Lab is not only about access; it’s about acceleration. Users of quantum computing software such as Qiskit, Cirq, and Pennylane have already been able to leverage NVIDIA GPU acceleration through cuQuantum on qBraid Lab. CUDA Quantum brings advanced GPU-accelerated backends to more closely simulate actual QPU operations. With NVIDIA GPUs, users can perform exact simulation of ~40 qubit quantum circuits beyond the noisy limits of current QPU hardware. This is a game-changer for circuit simulation, where the memory required grows exponentially with the number of qubits. Through qBraid Lab, users can now tap into the power of multi-node multi-GPU configurations, scaling their quantum simulations to new heights.
qBraid has been selected as one of twelve teams from an immensely competitive worldwide pool to be part of the WellcomeLeap Q4Bio program in advancing biomedical technology. In the program, qBraid leverages NVIDIA Grace Hopper Superchips to accelerate its efforts toward developing novel quantum algorithms relevant to better understand the underlying impacts of amyloid-β and α-synuclein on neurodegenerative diseases such as Alzheimer’s disease and Parkinson’s disease. Owing to its high-bandwidth CPU-GPU interconnect, GH200 outperforms any hardware on the market, allowing for users to gain a competitive advantage. Join us today on qBraid and start setting record-breaking times on your quantum simulations.
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About qBraid
qBraid is the definitive one-stop platform for quantum computing. As a deep-tech software-as-a-service startup based in Chicago, qBraid provides seamless access to quantum software and quantum computers through its development and deployment platform. The qBraid coding platform allows for automatic setup of difficult quantum software packages with integrations to quantum hardware provided by AWS, IBM, QuEra, Intel, Microsoft, and others to provide their users the best experience doing all things quantum. The open-sourced qBraid SDK allows for turn-key access to quantum hardware where users can code in 6 different quantum frameworks such as Qiskit, Cirq, or Amazon Braket. qBraid is on YouTube, LinkedIn, Twitter/X and Github. For more information on qBraid, visit https://www.qbraid.com.